DocumentCode :
666528
Title :
Experimental magnetizing inductance identification in five-phase induction machines
Author :
Che, Hang Seng ; Jones, Maxwell ; Levi, E. ; Riveros, J.A. ; Bogado, Blas ; Barrero, F.
Author_Institution :
Sch. of Eng., Liverpool John Moores Univ., Liverpool, UK
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
5179
Lastpage :
5184
Abstract :
Parameter identification of multiphase machines is a new and interesting topic in the development of multiphase drive systems. Regardless of the applied control technique, an accurate knowledge of the parameters is required to ensure high-performance operation of the machine. This also applies to the magnetizing inductance of the machine. Available identification schemes for multiphase induction machines utilize AC and time-domain methods, some of which require non-conventional winding arrangement or a combination of different procedures that need tests in the non-flux/torque producing plane(s). This paper introduces a simple magnetizing inductance identification technique, which relies on an induced DC voltage test. It is an extension of a procedure previously proposed for the three-phase case to the five-phase induction machine. Experimental results illustrate the reliability and validity of the technique using two different five-phase induction motor drives.
Keywords :
inductance; induction motor drives; machine control; machine windings; reliability; AC methods; experimental magnetizing inductance identification; five-phase induction machines; five-phase induction motor drives; induced DC voltage test; multiphase drive systems; nonconventional winding arrangement; nonflux producing plane; parameter identification; time-domain methods; torque producing plane; Estimation; Inductance; Magnetic flux; Stator windings; Voltage measurement; Windings; Multiphase drives; induction machines; parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699976
Filename :
6699976
Link To Document :
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